- 专利标题: Machine learning-based media content sequencing and placement
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申请号: US16022161申请日: 2018-06-28
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公开(公告)号: US11270337B2公开(公告)日: 2022-03-08
- 发明人: Glenn J. Kiladis , Aron Robert Schatz
- 申请人: ViralGains Inc.
- 申请人地址: US MA Boston
- 专利权人: ViralGains Inc.
- 当前专利权人: ViralGains Inc.
- 当前专利权人地址: US MA Boston
- 代理机构: Patent GC LLC
- 代理商 Alexander Franco
- 主分类号: G06N20/00
- IPC分类号: G06N20/00 ; G06Q30/02 ; G06N3/08 ; G06N7/00 ; H04L67/50 ; G06F16/735
摘要:
A system performs an automated analysis on a set of related media content items, such as static and video display advertisements for a coordinated advertising campaign. The analysis can include, for example, recognition of products, services, brands, objects, music, speech, motion, colors and moods, in order to determine content profiles for the content items. Different sequences of the media content items are placed within the web browsing paths of individual users, and the responses to the sequences are monitored with respect to desired outcomes, such as the purchase of a product or the visiting of an advertiser's website. The content profiles, the sequences, the placements, and the responses are provided as input into a machine learning system that is trained to select sequences and placements of media content items that achieve the desired outcomes. The system can be trained in part or wholly using feedback from its own output.
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